Title :
GA optimization in electric machines
Author :
Mohammed, Osama A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. In this paper, practical issues relating to the implementation the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained through application examples
Keywords :
convergence of numerical methods; electric machines; genetic algorithms; machine theory; application examples; design optimization; electric machines; genetic algorithm; guidelines; implementation issues; premature convergence; recommendations; Application software; Biological cells; Convergence; Design optimization; Electric machines; Electromagnetic devices; Genetic algorithms; Guidelines; Reflective binary codes; Stochastic processes;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604194
